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Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
Published on: October 18, 2015
Shaping bursting by electrical coupling and noise.
Georgi S Medvedev1, Svitlana Zhuravytska
1Department of Mathematics, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA. medvedev@drexel.edu
Electrical coupling in cell networks can synchronize activity and reduce noise, leading to synchronized bursting. Network topology, like high algebraic connectivity, enhances this denoising effect.
Area of Science:
- Computational neuroscience
- Systems biology
- Mathematical biology
Background:
- Electrical coupling synchronizes activity in neuronal and cellular networks.
- Electrically coupled networks can exhibit synchronized oscillations different from uncoupled cells, notably synchronized bursting in pancreatic beta-cells.
- Noise can significantly impact cellular activity, and electrical coupling may mitigate these effects through a process called denoising.
Purpose of the Study:
- To derive quantitative estimates for denoising in electrically coupled networks of conductance-based square wave bursting cells.
- To analyze the interplay between intrinsic cell properties, network topology, and denoising.
- To understand the role of network topology in synchronization and stability.
Main Methods:
- Analysis of denoising in networks of integrate-and-fire neurons.
- Study of spontaneous activity in Locus Coeruleus networks.
- Derivation of quantitative estimates for denoising in conductance-based models.
- Analytical estimation of convergence rates to the synchronization subspace and its stability.
- Numerical simulations of electrically coupled conductance-based networks.
Main Results:
- Electrical coupling enables synchronized bursting in networks of cells that are irregularly spiking in isolation.
- Networks with high algebraic connectivity or low total effective resistance are more effective at denoising.
- Network topology plays a crucial role in synchronization speed and stability of the synchronized state.
- Analytical estimates of synchronization subspace convergence and stability were obtained.
Conclusions:
- Electrically coupled networks exhibit a denoising phenomenon that synchronizes cell activity and reduces noise effects.
- Network topology is a key determinant of denoising efficiency and synchronization properties.
- The findings explain the mechanisms of synchronization and denoising in biological models like pancreatic islets.
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